Live-action mass-casualty training and virtual world training

Shubeck, Keith T.; Craig, Scotty D.; Hu, Xiangen

doi:10.1177/1541931213601476

Cited by 18 publications

(5 citation statements)

References 18 publications

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“…BRCA Gist [52] and VCAEST [53] were developed using AutoTutor Lite for the generation of tutorial dialog.…”

Section: Expectation and Misconceptions Tailoredmentioning

confidence: 99%

A Systematic Literature Review of Intelligent Tutoring Systems With Dialogue in Natural Language

Paladines¹,

Ramírez²

2020

IEEE Access

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Intelligent tutoring systems (ITSs) are computer programs that provide instruction adapted to the needs of individual students. Dialog systems are computer programs that communicate with human users by using natural language. This paper presents a systematic literature review to address ITSs that incorporate dialog systems and have been implemented in the last twenty years. The review found 33 ITSs and focused on answering the following five research questions. a) What ITSs with natural language dialogue have been developed? b) What is the main purpose of the tutoring dialogue in each system? c) What are the pedagogical features of the teaching process performed by the ITSs with natural language dialogue? d) What natural language understanding approach does each system employ to understand students' utterances? e) What evidence exists related to the evaluation of ITSs with natural language dialogue? The results of this review reveal that most ITSs are directed toward science, technology, engineering, and mathematics (STEM) domains at the university level, and the majority of the selected ITSs implement the expectations and misconceptions tailored approach. Furthermore, most ITSs use dialog to help students learn how to solve a problem by applying rules, laws, etc. (the apply level in Bloom's taxonomy). With regard to the instructional approach, the selected ITSs help students write correct explanations or answers for deep questions; assist students in problem solving; or support a reflective dialogue motivated by either previously provided content or the result of a simulation. Additionally, we found empirical evaluations for 90.91% of the selected ITSs that measure the learning gains and/or assess the impacts of different tutoring strategies.

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“…BRCA Gist [52] and VCAEST [53] were developed using AutoTutor Lite for the generation of tutorial dialog.…”

Section: Expectation and Misconceptions Tailoredmentioning

confidence: 99%

A Systematic Literature Review of Intelligent Tutoring Systems With Dialogue in Natural Language

Paladines¹,

Ramírez²

2020

IEEE Access

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“…Our method is also applicable to interactive learning formats such as the game‐based learning environment, which requires more active user inputs while learning or problem‐solving is taking place (Stiller & Schworm, 2019). For example, Shubeck, Craig, and Hu (2016) tested the effectiveness of a virtual reality game, Virtual Civilian Aeromedical Evacuation Sustainment Training (VCAEST), in mass casualty triage training. In this game, participants navigated through an accident site, interacted with virtual victims, examined their vital signs, and selected the victims' triage category using a keyboard and a computer mouse.…”

Section: Discussionmentioning

confidence: 99%

Assessing learning effort with hand motion tracking methods

Rheem

Becker

Craig

2021

Applied Cognitive Psychology

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Technology has enabled various alternative educational platforms, such as online courses. Compared to human instructors in traditional educational environments, alternative platforms often show a limited capacity to evaluate the learning progress of students and implement intervention strategies based on the evaluation. Here, we tested participants' hand motions, recorded using a computer mouse and a touchscreen, to determine if the data can predict learners' struggles. Hand motions of participants concurrently performing arithmetic and motor tasks were examined to investigate how the hand motions varied depending on the difficulty of the arithmetic task. The results indicated that working memory load affected both the temporal and spatial features of hand motions, which were predictive of participants' level of working memory load. These findings demonstrate that the assessment of struggles in learning may be achieved at relatively high accuracy with input devices commonly used by learners to access online education systems.

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“…Live full-scale scenario training, considered the gold standard, enables MFRs to practice key competencies for large-scale incidents. However, it presents challenges related to resources and evaluation [4]. Research reveals inadequate MCI scenario training, leading to MFRs feeling unprepared, potentially affecting their response to disasters and patient safety [5].…”

Section: Current Training Methodsmentioning

confidence: 99%

NextGen Training for Medical First Responders: Advancing Mass-Casualty Incident Preparedness through Mixed Reality Technology

Zechner,

García Guirao,

Schrom-Feiertag

et al. 2023

MTI

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Mixed reality (MR) technology has the potential to enhance the disaster preparedness of medical first responders in mass-casualty incidents through new training methods. In this manuscript, we present an MR training solution based on requirements collected from experienced medical first responders and technical experts, regular end-user feedback received through the iterative design process used to develop a prototype and feedback from two initial field trials. We discuss key features essential for an effective MR training system, including flexible scenario design, added realism through patient simulator manikins and objective performance assessment. Current technological challenges such as the responsiveness of avatars and the complexity of smart scenario control are also addressed, along with the future potential for integrating artificial intelligence. Furthermore, an advanced analytics and statistics tool that incorporates complex data integration, machine learning for data analysis and visualization techniques for performance evaluation is presented.

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Live-action mass-casualty training and virtual world training

Cited by 18 publications

References 18 publications

A Systematic Literature Review of Intelligent Tutoring Systems With Dialogue in Natural Language

A Systematic Literature Review of Intelligent Tutoring Systems With Dialogue in Natural Language

Assessing learning effort with hand motion tracking methods

NextGen Training for Medical First Responders: Advancing Mass-Casualty Incident Preparedness through Mixed Reality Technology

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